Kenong Su

980 citations
8 papers · 196 · h-index 7

Impact in

Papers in

    • Single-cell and spatial transcriptomics 6
    • Gene expression and cancer classification 3
    • Bioinformatics and Genomic Networks 2
    • Molecular Biology Techniques and Applications 2
    • Epigenetics and DNA Methylation 1
    • Ferroptosis and cancer prognosis 1

Kenong Su

8 papers receiving 195 citations

Peers

Kenong Su
Comparison fields: 5 of 38
  • Biophysics 25
  • Cancer Research 39
  • Molecular Biology 171
  • Immunology 23
  • Computational Theory and Mathematics 5
Replace Shaliu Fu with:
Shaliu Fu China
Justina Žurauskienė United Kingdom
Songren Wei China
Fenglan Pang China
Pierre Boyeau United States
Dongyuan Song United States
Jay S. Stanley United States
Seungbyn Baek South Korea
Akshay Balsubramani United States
Chengwei Zhong Singapore
Kenong Su relative to Shaliu Fu China Shaliu Fu's profile →
Citations per field
00.5×1.5×
Shaliu Fu · 1×
Citations per year

Countries citing papers authored by Kenong Su

Since Specialization
Citations

This map shows the geographic impact of Kenong Su's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kenong Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenong Su more than expected).

Fields of papers citing papers by Kenong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenong Su. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kenong Su. The network helps show where Kenong Su may publish in the future.

Co-authors

The 25 scholars most cited alongside Kenong Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kenong Su Line = papers co-authored together Kenong Su links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 202256
2 202140
3 202127
4 202226
5 202118
6 202016
7 20228
8 20215

About Kenong Su

Kenong Su is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cognitive Neuroscience, Genetics and Infectious Diseases, having authored 8 papers that have together received 196 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (2 papers), Molecular Biology Techniques and Applications (2 papers), Autism Spectrum Disorder Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Epigenetics and DNA Methylation (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Biophysics (25 citations), Cancer Research (39 citations), Molecular Biology (171 citations), Immunology (23 citations) and Computational Theory and Mathematics (5 citations). Kenong Su has collaborated with scholars based in United States and China. Frequent co-authors include Hao Wu, Tianwei Yu, Wenjing Ma, Michelle Y. Y. Lee, Alexander C. Bashore, Muredach P. Reilly, Mingyao Li, Amelia Schroeder, Zhijin Wu and Zhaohui Qin. Their work appears in journals such as Genome biology, Bioinformatics, Frontiers in Genetics, Briefings in Bioinformatics and Human Molecular Genetics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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